Budget: 27000 UAH Deadline: 5 days
Good day!
I have significant experience in this field — I will propose several effective solutions.
Feel free to contact me, I will complete the task quickly and efficiently.
Budget: 27000 UAH Deadline: 7 days
Hello. I have extensive experience with Next.js. I am ready to help with the frontend.
Budget: 27000 UAH Deadline: 1 day
Hello, I have been working on a project to create an intelligent chatbot for learning and support in a format similar to ChatGPT ✅ – processing over 5000 pages of text, integrating GPT-4.
Your idea with RAG and vector database – how do you envision the ideal combination between learning materials and the chatbot's responses?
I suggest we get in touch, I will provide you with free technical consultation and we will create a development plan + I will tell you about my team!
Budget: 26900 UAH Deadline: 2 days
Hello! 👋
I am a Fullstack developer (Next.js, NestJS, FastAPI, Docker), working alongside an ML engineer specializing in LangChain, Llama 3, and RAG pipelines.
We are ready to implement your turnkey intelligent chatbot project — with a full web interface and proper functionality based on uploaded data (books, website).
What we will do:
🌐 Chat interface (Next.js + Tailwind) — similar to ChatGPT, responsive, with message history.
⚙️ Backend (FastAPI) — routes for chat, data uploads, and searches.
🧠 RAG (LangChain + Chroma/FAISS) — indexing PDF/DOCX and website content, generating responses strictly based on your data.
🔗 Integration of GPT-4 / Claude / Llama 3 via API.
🐳 Docker deployment + documentation — everything is ready for launch and expansion.
Why us:
Experience with OpenAI API, LangChain, and LlamaIndex, knowledge of the entire chain from embeddings to the front end.
Thoughtful architecture, readable code, scalability, clear installation.
We work in stages with intermediate demos and reports.
💰 Budget: €1100-1300
⏱️ Timeline: 3–5 weeks
📄 At the end — source code, documentation, and instructions for adding new sources.
Ready to discuss details (models, data format, preferences for vector DB).
If the project is still open — we can get started right away.
Budget: 27000 UAH Deadline: 35 days
Good day, I am ready to complete it. Write to me in private messages, we will discuss in more detail.
Budget: 26000 UAH Deadline: 45 days
Hello, I understand how to implement this with a team and make it turnkey) Let's discuss in more detail in a private chat)
The price is 90,000 UAH, I just can't indicate more than 27,000 UAH in the ad.
Budget: 27000 UAH Deadline: 30 days
Hello!
I am interested in your project and I am ready to take on its execution. I have extensive experience in developing similar platforms - I am happy to help.
And here are the works I am NOT ASHAMED of -
1) Admin panels and CRM system modules - 
Behance
2) Telegram bot for registering new students + built-in admin panel Behance
3) Design development and its implementation into a finished product (personal page of an English and French tutor):
https://www.aniriyar.com/
4) Development of an extension for Outlook: Behance
Open to communication and discussion of details.
Budget: 27000 UAH Deadline: 30 days
Good day! I am developing web applications and working with the APIs of large language models. I can create a chatbot that will answer questions based on your books and website materials, using LangChain and data indexing. The interface will be similar to ChatGPT, and we will discuss integration and training separately. Terms and cost are negotiable.
Budget: 27000 UAH Deadline: 20 days
Hello!
Regarding my experience with RAG: recently I have implemented several projects with RAG and working with vector databases. One of them is "Chat with PDF": the user can upload PDF documents, these documents are uploaded to a vector database, and in the chat, the user can communicate with an AI agent, considering the context of the selected files (example mockups https://ibb.co/LDhJqZRN, I cannot show the real product due to NDA). In this solution, OpenAI vector store was used as the vector database, but there is no problem using any other vector database at your request.
I am ready to offer you a solution in Python (Django) and Vue / Nuxt. I think the basic version can fit within €2500.
I would be happy to discuss your task in more detail.
Budget: 27000 UAH Deadline: 10 days
Good day, I am interested in your project. I would be happy to collaborate, please write to me in private messages of the freelancer for communication.
Budget: 27000 UAH Deadline: 4 days
Ready to complete this project. I have extensive experience in developing various applications.
Budget: 27000 UAH Deadline: 14 days
Good afternoon, I have experience with integrating AI and RAG, using the Python language.
Budget: 27000 UAH Deadline: 14 days
I will train a neural network based on your books to create an AI assistant. I will write the backend part and the frontend (website) to communicate with the bot through a convenient interface.
Budget: 27000 UAH Deadline: 22 days
I can help with the implementation of the project. I am familiar with Python and understand the general architecture of web applications. I have not personally worked with LangChain and RAG, but I have an idea of how it works — I can study and build a working prototype based on similar solutions.
Budget: 27000 UAH Deadline: 14 days
Hello! I have experience in creating RAG systems based on LangChain for companies in the education sector. I will create a web application for you with a chatbot that will use your books and website as the sole source of information, responding in your authorial style. I will implement indexing of PDF/DOCX documents, a vector database with Chroma, integration with OpenAI API, and a user-friendly interface for adding new data. I am ready to start working in the coming days.
Budget: 27000 UAH Deadline: 15 days
Hello.
Your project focuses on creating a highly accurate intelligent chatbot that operates exclusively on your own data. I will achieve this by implementing a robust RAG pipeline using LangChain or LlamaIndex and a vector database such as Pinecone or Chroma for optimal search performance. I will integrate GPT-4 or Llama 3 via the OpenAI API into the FastAPI backend and React/Next.js frontend to create a smooth interface similar to ChatGPT, with support for dynamically adding new documents and web content. The chatbot will be fine-tuned according to your communication style, strictly adhering to indexed books and website data to avoid hallucinations. I will provide a fully deployable web application with setup documentation and further data addition instructions. With my experience in LLM architectures and RAG production systems, I can guarantee reliability and scalability within your timelines and budget.
